Hinova's repositories
DeepPDELearner
This repository introduces Partial Differential Equation Solver using neural network that can learn resolution-invariant solution operators on Navier-Stokes equation. Solving PDE is the core subject of numerical simulation and is widely used in science and engineering, from molecular dynamics to flight simulation, and even weather forecasting.
DeepPDE-LidDrivenCavityFlow
The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. In this repository, we will walk through the process of generating a 2D flow simulation for the Lid Driven Cavity (LDC) flow using Nvidia Modulus framework.
Self-Attention-HearthStone-GAN
This repository provides a PyTorch implementation of SAGAN cited by heykeetae/Self-Attention-GAN. This repository provide an efficient method to generate large resolution images and attention weights visualisation using tensorboard platform. Tensorboard is a robust platform to monitor generated images and learning weights in computer vision learning experiment.
Bert-Chinese-Text-Classification-Wandb
Chinese Text Classification using BERT (Bidirectional Encoder Representation from Transformers), BERT variants and ERNIE (Enhanced Language Representation with Informative Entities), implemented by PyTorch, monitored training by WandB (Weights & Biases)
deep-rl-class
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
FinTech-Hackathon-2017
HKUST FinTech Hackathon: provide a solution for easy reading telephone voice and reply automatically.
Grind-75
Leetcode Solutions in Python for Grind 75
mlx
MLX: An array framework for Apple silicon
NetworkX_trials
A starting point for working with network analysis in Python
NodeJS-Firebase-basic
Integrations with either client database or third-party APIs. For TODO list APIs in Node.JS.
torch_accelerator
Experiments to accelerate GPU device for PyTorch training
trl
Train transformer language models with reinforcement learning.